Pectin extraction from cocoa husk of different genotypes and stages of ripeness by Enrique Arévalo-Gardini, Cesar Oswaldo Arévalo-Hernández, Virupax Baligar, Dapeng Zhang

“…Results showed that genotype and ripeness significantly affect extraction efficiency and pectin functionality. The highest pectin yield was 77.7% for IMC-67 (ripe) and 72.6% for CCN51 (semi-ripe) at optimal conditions (pH 1.5–1.6, 80 °C, 75 minutes). …”
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Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“… This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. …”
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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

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Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models by Miroslav Mahdal, K. Rajathi, Muniyandy Elangovan, Prabhukumar Sellamuthu, Amit Verma

“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
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Nonsense-mediated mRNA decay and loss-of-function of the protein underlie the X-linked epilepsy associated with the W356× mutation in synapsin I. by Maila Giannandrea, Fabrizia C Guarnieri, Niels H Gehring, Elena Monzani, Fabio Benfenati, Andreas E Kulozik, Flavia Valtorta

“…Given that the NMD efficiency is highly variable among individuals and cell types, we investigated also the effects of expression of the mutant protein and found that it is expressed at lower levels compared to wild-type synapsin I, forms perinuclear aggregates and is unable to reach presynaptic terminals in mature hippocampal neurons grown in culture. …”
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Derivation and external validation of a risk score for clinically important declines in health and function among two longitudinal cohorts of women in the mid-life by Daniel H Solomon, Bernhard Haring, JoAnn E Manson, Rebecca Jackson, Aladdin Shadyab, Carrie Karvonen-Gutierrez, Kristine Ruppert, Leah Santacroce, Sherri-Ann M Burnett-Bowie, Alicia Colvin, Meryl S LeBoff, Celina I Valencia, Nancy E Avis

“…Objectives Women in mid-life often develop chronic conditions and experience declines in physical health and function. Identifying factors associated with declines provides opportunity for targeted interventions. …”
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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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Kidney Function and Incident Stroke and Dementia Using an Updated Estimated Glomerular Filtration Rate Equation Without Race: The Multi-Ethnic Study of Atherosclerosis by Samuel R. Moen, Jeffrey R. Misialek, Timothy M. Hughes, Craig W. Johnson, Mark J. Sarnak, Sarah N. Forrester, W.T. Longstreth, Jr., Mercedes R. Carnethon, James S. Pankow, Sanaz Sedaghat

“…Inclusion of race to estimate kidney function has gained increased scrutiny given its problematic nature of being a societal construct rather than an inherent biological trait that affects function of the kidneys. …”
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STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL MODEL BASED ON ADAPTIVE SURROGATE MODEL by LIU YuZhuo, CAO LiXiong, WU JianGuo, LI HaiBo

“…Reinforced shell structure is widely used in aerospace load-bearing structures because its high specific stiffness and specific strength.By considering the uncertainty and risk factors in the structural parameters，the Reliability-Based Design Optimization （RBDO） can avoid the overly conservative design of the structure and ensure its reliability and safety.An efficient RBDO method based on adaptive agent model was proposed.This method solves the problem of lightweight design of reinforced shell structure under buckling reliability constraints.The adaptive addition of sample points was implemented through the expected feasibility function criterion，and the discrete variables was continued by constructing piecewise functions.This increases optimization efficiency while ensuring the reliability of design results.Finally，the effectiveness of the proposed method is verified by comparing the RBDO results with the deterministic optimization results.…”
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Methodology for assessing the spherical plain bearings durability by V. K. Harina, O. A. Ratenko, G. B. Vardanyan

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Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt by Jiquan Chen, Ranjeet John, Venkatesh Kolluru, Elizabeth A Mack, Peilei Fan, Jing Yuan, Zutao Ouyang, Jingyan Chen, Pavel Groisman, Changliang Shao, Amarjargal Amartuvshin, Garik Gutman

“…We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. …”
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West Nile Virus Vaccine Design by T Cell Epitope Selection: In Silico Analysis of Conservation, Functional Cross-Reactivity with the Human Genome, and Population Coverage by Frances M. Waller, Pedro A. Reche, Darren R. Flower

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Eficiência técnica na suinocultura: efeitos dos gastos com meio ambiente e da renúncia fiscal Technical efficiency in swine breeding: effect of the expenses with the environment an... by Benedito D. Pereira, João C. de S. Maia, Rosalina Camilot

“…After estimating the technical efficiency indices with data of ten properties situated in Mato Grosso from production functions, whose dependent variable is represented by the production of swine and the independent ones are the consumption of water, electricity and the amount of workers directly tied with the productive process. …”
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Energy Consumption and Economic Growth Nexus: Insights from EU Member States by Dalina-Maria ANDREI

“…It searches for some short/long term relationships of these through a panel type model, based on the Cobb-Douglas neoclassic production function. Reference examples in the literature and tests applied for unit roots and cointegration determine our option for an autoregressive distributed lag (ARDL) model able to identify both common coefficients of long-term relationship between variables and individual (specific to each EU member country) coefficients on short-term relationships. …”
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Study on Operation Control Strategy for Campus Public Building Heating Systems in Severe Cold Areas by Chuntian Lu, Shourui Xue, Yuetong Zhang, Songqing Wang

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Impacts of high viscosity variation and internal heating on mantle convection in different aspect ratio cells by Tania S. Khaleque, Md. Shafiul A. Khan, Romana Yesmin

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Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

“…The proposed model is evaluated using root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R 2). Notably, an asymmetric loss function is employed during the training phase of LightGBM to restrict overestimations. …”
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Improving the Dynamics of an Electrical Drive Using a Modified Controller Structure Accompanied by Delayed Inputs by Konrad Urbanski, Dariusz Janiszewski

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